Andrew Mertz

dblp:45/5389 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2006
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Coding theory · 60% Computational complexity · 40%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Coding theory
covering codes
0.012004
On the Complexity of Multicovering Radii · IEEE Trans. Inf. Theory 2004
Coding theory › error-correcting codes
covering radius
0.012004
On the Complexity of Multicovering Radii · IEEE Trans. Inf. Theory 2004
Computational complexity
hardness of approximation
0.012004
On the Complexity of Multicovering Radii · IEEE Trans. Inf. Theory 2004
Coding theory › error-correcting codes › covering radius
multicovering radius
0.012004
On the Complexity of Multicovering Radii · IEEE Trans. Inf. Theory 2004

Methods — techniques the papers use, named apart from their topics

reduction · 0.0approximation hardness · 0.0
YearPublicationVenuePosition
2006 The Two Covering Radius of the Two Error Correcting BCH Code
abstract
The m-covering radii of codes are natural generalizations of the covering radii of codes. In this paper we analyze the 2-covering radii of double error correcting BCH code
Andrew Klapper, Andrew Mertz
ISIT2
2004 On the Complexity of Multicovering Radii
abstract
The multicovering radius is a generalization of the covering radius. In this correspondence, we show that lower-bounding the m-covering radius of an arbitrary binary code is NP-complete when m is polynomial in the length of the code. Lower-bounding the m-covering radius of a linear code is /spl Sigma//sub 2//sup P/-complete when m is polynomial in the length of the code. If P is not equal to NP, then the m-covering radius of an arbitrary binary code cannot be approximated within a constant factor or within a factor n/sup /spl epsi// where n is the length of the code and /spl epsi/<1, in polynomial time. Note that the case when m=1 was also previously unknown. If NP is not equal to /spl Sigma//sub 2//sup P/,then the m-covering radius of a linear code cannot be approximated within a constant factor or within a factor n/sup /spl epsi// where n is the length of the code and /spl epsi/<1, in polynomial time.
Andrew Mertz
IEEE Trans. Inf. Theory1